Yazhou Tim Xie

Yazhou (Tim) Xie is an Associate Professor in the Department of Civil Engineering at McGill University. His research focuses on structural engineering and TISED, with an emphasis on resilience, infrastructure systems, and natural hazards. His work includes multi-hazard performance and risk assessment of civil structures, earthquake hazard mitigation using smart materials and technologies, and regional hazard fragility and resilience assessment. He also explores physics-informed machine learning techniques for natural hazards engineering. Xie teaches courses such as Structural Engineering 1, Matrix Structural Analysis, and Structural Dynamics. His research areas include soil-structure interaction, innovative seismic design, and performance-based earthquake engineering.

Yazhou (Tim) Xie is an Associate Professor at McGill University specializing in Bridge Engineering, Structural Engineering, Earthquake Engineering, and Machine Learning. His research focuses on integrating machine learning techniques to enhance seismic risk assessment, fragility analysis, and the design of seismic protective devices for bridges. He explores the application of deep learning, such as LSTM and CNN, for predicting seismic responses and improving the resilience of infrastructure. His work also addresses uncertainties in soil-structure interaction and the optimization of damping systems for highway and cable-stayed bridges. Xie's research contributes to the development of probabilistic models and performance-based design methodologies for seismic resilience.